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Analysis and validation of a highly sensitive one-step nested quantitative real-time polymerase chain reaction assay for specific detection of severe acute respiratory syndrome coronavirus 2

Overview of attention for article published in Virology Journal, December 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
47 Mendeley
Title
Analysis and validation of a highly sensitive one-step nested quantitative real-time polymerase chain reaction assay for specific detection of severe acute respiratory syndrome coronavirus 2
Published in
Virology Journal, December 2020
DOI 10.1186/s12985-020-01467-y
Pubmed ID
Authors

Yang Zhang, Chunyang Dai, Huiyan Wang, Yong Gao, Tuantuan Li, Yan Fang, Zuojun Shen, Lichang Chen, Zhaowu Chen, Xuejun Ma, Ming Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Bachelor 4 9%
Student > Doctoral Student 4 9%
Other 3 6%
Librarian 2 4%
Other 8 17%
Unknown 18 38%
Readers by discipline Count As %
Medicine and Dentistry 10 21%
Biochemistry, Genetics and Molecular Biology 4 9%
Agricultural and Biological Sciences 2 4%
Nursing and Health Professions 2 4%
Arts and Humanities 2 4%
Other 8 17%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 August 2021.
All research outputs
#5,887,945
of 23,509,982 outputs
Outputs from Virology Journal
#581
of 3,108 outputs
Outputs of similar age
#141,172
of 504,186 outputs
Outputs of similar age from Virology Journal
#13
of 54 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,108 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 504,186 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.